PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-21 10:22:15.345704+00:00 (UTC)
In US/Central Time, this is 2024-06-21 05:22:15.345704-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/3134bcbad5cc0755e8791d09f7aa30f6ff3d7780804d1623eb539f68a3dd318d.png
We are just generating a random time serie here.
../_images/e5f4d59254c31a61bf5e7c982a1d2fde3ed0a9dfad9cb817cbc5cb7306ff474c.png
../_images/6d59c6af102172e10301328454354d54839af9a58799d221b153dc40bd242be1.png